The impact of lead-time uncertainty in product configuration
Qinyu Song,
Yaodong Ni and
Dan A. Ralescu
International Journal of Production Research, 2021, vol. 59, issue 3, 959-981
Abstract:
Product configuration is widely practiced and is very effective when offering mass customisation production. This strategy assists manufacturers in understanding customers' preferences and demands, presenting product relevant rules, choosing alternative components and modules, and constructing theoretical models. However, the uncertainties (such as lead-time uncertainty) are not fully considered in the product configuration. To fill this gap, we develop an uncertain product configuration model based on uncertain lead-time and time-sensitive demand using uncertain programming. Another contribution is that we explored the interdependence between uncertain lead-time and outsourcing strategy. This uncertain mixed-integer programming is solved by using CPLEX 12.8. During a series of numerical experiments, we found that the profit and the sourcing strategies are sensitive to the uncertain lead-time and the outsourcing strategy helps companies reduce losses due to uncertainty.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2020.1715506 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:59:y:2021:i:3:p:959-981
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2020.1715506
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().